Development of an artificial neural network model for predicting minimum miscibility pressure in CO2 flooding
Author:
Publisher
Elsevier BV
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference25 articles.
1. CO2 minimum miscibility pressures: a correlation for impure CO2 streams and live oil systems;Alston;SPE J.,1985
2. Laboratory design of a gravity-stable, miscible CO2 process;Cardenas;J. Pet. Technol.,1984
3. Carbon dioxide dynamic miscibility with light reservoir oils;Cronquist,1978
4. Neural Network Architectures;Dayhoff,1990
5. Evaluation and design of a CO2 miscible flood project-SACROC unit, Kelly–Snyder field;Dicharry;J. Pet. Technol.,1973
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